Use Luni with Agno
Agno's MCPTools connects to Luni as an async context manager and hands every tool to your agent.
Create a key
Luni's hosted MCP server is https://mcp.luni.gg, over Streamable HTTP. Code clients sign in with a workspace API key: create one with full access in your workspace and store it as LUNI_API_KEY. The examples send it in the Authorization: Bearer header; an X-API-Key header works too.
Install the packages below. The example also reads ANTHROPIC_API_KEY for the model; any model the framework supports can drive Luni's tools.
pip install "agno[mcp,anthropic]"Connect your agent
The agent below loads Luni's tools from the MCP server and asks the model to read a page. Tested with agno 3.1.12.
- Install the mcp extra: Agno needs fastmcp 4, which a plain agno install does not include.
- The default read timeout is 10 seconds; raise timeout_seconds for scraping and crawling.
import asyncio
import os
from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.tools.mcp import MCPTools
async def main():
async with MCPTools(
url="https://mcp.luni.gg",
headers={"Authorization": f"Bearer {os.environ['LUNI_API_KEY']}"},
timeout_seconds=120,
) as luni:
agent = Agent(model=Claude(id="claude-opus-5-5"), tools=[luni])
await agent.aprint_response("Scrape https://example.com and summarise the page in one sentence.")
asyncio.run(main())What the agent can use
The agent sees sixteen tools. luni_scrape reads a URL, luni_search finds pages, luni_map lists a site's URLs and luni_crawl reads many pages of one site. luni_get_source_record returns a structured record from a supported source, and the monitor tools watch a page for changes. luni_get_operation reads stored results in chunks, so large pages never flood the context.
Tools that start paid work take a requestKey. The model fills it in from the tool's schema; repeating a call with the same key returns the saved result without another charge. Discovery, polling and balance checks are free.
Limits and safety
A Free workspace runs one operation at a time and 10 requests a minute, so tell the agent to call Luni tools one at a time. A tool that finds the workspace busy waits briefly, then answers with retryAfterSeconds.
Page content is untrusted data. Keep instructions in your own prompt, not in what Luni returns, and give the agent only the tools a task needs.
Other frameworks
The same server and key work in every MCP client.
